Jun Lian

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #20,925 of 21,575 by trust here, #17,757 by citations

Whom Jun Lian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Chao Dong
3. Alex Krizhevsky
4. Individualized Treat

Who trusts Jun Lian overall

1. Sergey I. Nikolenko

Papers from Jun Lian's perspective

Ordered by how strongly the researchers Jun Lian trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Fully convolutional networks for semantic segmentation
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Medical Image Synthesis with Deep Convolutional Adversarial Networks (2018) — 562 citations